GitHub

Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves

Offical implementation of the paper Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves. Abstract Prompt tuning (PT) has long been recognized as an ...
IEEE

Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection

Abstract: We describe the Forensics Adapter, an adapter network designed to transform CLIP into an effective and generalizable face forgery detector. Although CLIP is highly versatile, adapting it for ...
New Atlas

Pocket driver with built-in bits ready to give your EDC a tune-up

The CRKT ToGo Driver, designed by John Wu, is a pocket-sized multi-tool that blends sleek design with practical utility, offering everyday carry enthusiasts a compact solution for quick fixes and ...
IEEE

Tip-Adapter-SA: Training-Free CLIP-Adapter Enhanced by Semantic Alignment for Multi-Label Few-Shot Classification with Single Positive Labels

Abstract: Multi-label classification is a fundamental task that requires predicting all applicable labels for each sample. Previous methods often rely heavily on training models with large-scale multi ...